Comments (6)
I believe you can a copy of the model file in this issue: #14.
from finbert.
You can download it directly from GitHub.
from finbert.
I just got the same error after using git-lfs to clone the repo. When downloading directly from git (i.e. clicking raw, then right click and save as) I only get the 3 lines text file instead of 400MB model file. Could you perhaps upload the model to some other place from where we could download it? thanks!
from finbert.
I also have the same problem of not being able to download the full model files. States the repo is over its data quote.
from finbert.
Same error here. Not able to download it by git-lfs or directly from GitHub. In other issue someone uploaded it to google drive but the link expired.
from finbert.
Please check the updated README. We don't use git-lfs anymore.
from finbert.
Related Issues (20)
- Preprocessing using TRC2
- Using Finbert for 240 multilabel multiclass classification HOT 1
- AxisError when call predict via REST API on Flask HOT 2
- pip install transformers is necessary to Dockerfile HOT 1
- error using predict.py HOT 4
- no code for FiQA sentiment classification task? HOT 1
- ad Gateway for url: https://huggingface.co/bert-base-uncased/resolve/main/config.json
- Sentence Representation Layer
- unable to parse tokenizer_config.json HOT 1
- TypeError: ord() expected a character, but string of length 69 found HOT 1
- pretrained model assignment HOT 1
- Understanding the output HOT 3
- Incorrect prediction Using Huggingface Transformers converted to ONNX format HOT 1
- Questions about regression HOT 1
- Tokenizer HOT 2
- Size of training data
- Is Pretrained only FinBert available HOT 1
- 'FinBert' object has no attribute 'class_weights'
- Unable to run finbert on R HOT 1
- help me to create the dataset for custom data for fine tuning
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from finbert.