Comments (6)
easy to handle, \bert_score\score.py this file,change the line 95 ,
if num_layers is None: num_layers = model2layers[model_type]
to
if num_layers is None: # 如果 model_type 是路径,则截取最后一个/后的字符串 if "/" in model_type: num_layers = model2layers[model_type.split("/")[-1]]
Then you could use your local model, hope It could help you
from bert_score.
easy to handle, \bert_score\score.py this file,change the line 95 ,
if num_layers is None: num_layers = model2layers[model_type]
toif num_layers is None: # 如果 model_type 是路径,则截取最后一个/后的字符串 if "/" in model_type: num_layers = model2layers[model_type.split("/")[-1]]
Then you could use your local model, hope It could help you
Good!
I make this method work better. After modification, you only need to change model_type to your local model path, e.g.
self.bert_scorer = BERTScorer(
model_type="/Users/wangyangfan/remote/models/FacebookAI/roberta-large",
device='mps',
rescale_with_baseline=True,
lang='en'
)
👏 Inspired by @shuaijiumei, thanks a lot!
Also, I created a PR that you can collaborate with if you are interested!
from bert_score.
maybe yes
from bert_score.
THANKS A LOT!
from bert_score.
easy to handle, \bert_score\score.py this file,change the line 95 ,
if num_layers is None: num_layers = model2layers[model_type]
toif num_layers is None: # 如果 model_type 是路径,则截取最后一个/后的字符串 if "/" in model_type: num_layers = model2layers[model_type.split("/")[-1]]
Then you could use your local model, hope It could help you
Thank u. It works a lot, Awesome
from bert_score.
easy to handle, \bert_score\score.py this file,change the line 95 ,
if num_layers is None: num_layers = model2layers[model_type]
toif num_layers is None: # 如果 model_type 是路径,则截取最后一个/后的字符串 if "/" in model_type: num_layers = model2layers[model_type.split("/")[-1]]
Then you could use your local model, hope It could help you
照着修改了这里怎么也不管用啊,**国内也连不上huggingface,我把预训练模型文件下载下来了,修改了utils里面的lang2model、model2layers中模型的路径,还是提示 We couldn't connect to 'https://huggingface.co/' to load this file,
from bert_score.
Related Issues (20)
- Trying Custom BERT model HOT 1
- Coco challenge link expired
- Why is matplotlib needed?
- Nan of P score?
- Tensor dimension mismatch when using lang='en-sci' HOT 2
- Cache embeddings HOT 2
- DeBERTaV3 Support HOT 1
- BERT simple true / false comparison scoring seems wrong
- Question about human ratings
- score函数无法加载离线模型【已解决】
- BERTScore can match contextualized embeddings of `[SEP]`/`[CLS]` tokens
- is tokenizer max length correct? HOT 1
- AttributeError: 'RobertaTokenizerFast' object has no attribute 'max_len'
- Using Clinical Models as Model_Type in BertScore
- Scoring Question
- Report: MPS backend is working fine HOT 1
- RuntimeError
- EnvironmentError
- ModuleNotFoundError: No module named 'bert_score' HOT 1
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