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ChatPDF功能存在的问题运行complex_ui.py直接报如下错误。
(mindspore) root@autodl-container-bff2469f3e-a4796232:/autodl-tmp/ChatPDF# python complex_ui.py
Building prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.529 seconds.
Prefix dict has been built successfully.
The following parameters in checkpoint files are not loaded:
['embeddings.position_ids']
Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s]MindSpore do not support bfloat16 dtype, we will automaticlly convert to float16
Loading checkpoint shards: 100%|████████████████████████████████████████████████████| 3/3 [00:18<00:00, 6.11s/it]
Traceback (most recent call last):
File "/root/autodl-tmp/ChatPDF/complex_ui.py", line 2, in
from logic import add_text, generate_response, render_file, clear_chatbot
File "/root/autodl-tmp/ChatPDF/logic.py", line 6, in
model = ChatPDF()
File "/root/autodl-tmp/ChatPDF/chatpdf.py", line 184, in init
self.rerank_tokenizer = AutoTokenizer.from_pretrained(rerank_model_name_or_path, mirror='modelscope')
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/models/auto/tokenization_auto.py", line 775, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_base.py", line 1723, in from_pretrained
return cls._from_pretrained(
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_base.py", line 1942, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py", line 154, in init
super().init(
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_fast.py", line 106, in init
fast_tokenizer = convert_slow_tokenizer(slow_tokenizer)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 1388, in convert_slow_tokenizer
return converter_class(transformer_tokenizer).converted()
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 533, in converted
pre_tokenizer = self.pre_tokenizer(replacement, add_prefix_space)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 515, in pre_tokenizer
return pre_tokenizers.Metaspace(replacement=replacement, add_prefix_space=add_prefix_space)
TypeError: Metaspace.new() got an unexpected keyword argument 'add_prefix_space'
(mindspore) root@autodl-container-bff2469f3e-a4796232:/autodl-tmp/ChatPDF# ^C
The text was updated successfully, but these errors were encountered:
ChatPDF功能存在的问题运行complex_ui.py直接报如下错误。
(mindspore) root@autodl-container-bff2469f3e-a4796232:
/autodl-tmp/ChatPDF# python complex_ui.py/autodl-tmp/ChatPDF# ^CBuilding prefix dict from the default dictionary ...
Loading model from cache /tmp/jieba.cache
Loading model cost 0.529 seconds.
Prefix dict has been built successfully.
The following parameters in checkpoint files are not loaded:
['embeddings.position_ids']
Loading checkpoint shards: 0%| | 0/3 [00:00<?, ?it/s]MindSpore do not support bfloat16 dtype, we will automaticlly convert to float16
Loading checkpoint shards: 100%|████████████████████████████████████████████████████| 3/3 [00:18<00:00, 6.11s/it]
Traceback (most recent call last):
File "/root/autodl-tmp/ChatPDF/complex_ui.py", line 2, in
from logic import add_text, generate_response, render_file, clear_chatbot
File "/root/autodl-tmp/ChatPDF/logic.py", line 6, in
model = ChatPDF()
File "/root/autodl-tmp/ChatPDF/chatpdf.py", line 184, in init
self.rerank_tokenizer = AutoTokenizer.from_pretrained(rerank_model_name_or_path, mirror='modelscope')
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/models/auto/tokenization_auto.py", line 775, in from_pretrained
return tokenizer_class.from_pretrained(pretrained_model_name_or_path, *inputs, **kwargs)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_base.py", line 1723, in from_pretrained
return cls._from_pretrained(
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_base.py", line 1942, in _from_pretrained
tokenizer = cls(*init_inputs, **init_kwargs)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/models/xlm_roberta/tokenization_xlm_roberta_fast.py", line 154, in init
super().init(
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/tokenization_utils_fast.py", line 106, in init
fast_tokenizer = convert_slow_tokenizer(slow_tokenizer)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 1388, in convert_slow_tokenizer
return converter_class(transformer_tokenizer).converted()
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 533, in converted
pre_tokenizer = self.pre_tokenizer(replacement, add_prefix_space)
File "/root/miniconda3/envs/mindspore/lib/python3.9/site-packages/mindnlp/transformers/convert_slow_tokenizer.py", line 515, in pre_tokenizer
return pre_tokenizers.Metaspace(replacement=replacement, add_prefix_space=add_prefix_space)
TypeError: Metaspace.new() got an unexpected keyword argument 'add_prefix_space'
(mindspore) root@autodl-container-bff2469f3e-a4796232:
The text was updated successfully, but these errors were encountered: