Instructions to use turing-usp/FinBertPTBR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use turing-usp/FinBertPTBR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="turing-usp/FinBertPTBR")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("turing-usp/FinBertPTBR") model = AutoModelForSequenceClassification.from_pretrained("turing-usp/FinBertPTBR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.a9c1d45
-
Update README.md
fb10ee8 -
Update README.md
7496baf
-
Update README.md
109ec92
-
Update README.md
845a984 -
Delete modelcard.md
2e2e5c8 -
Create modelcard.md
9863cd5
-
Update README.md
a4457a2 -
add model
3f4e2cb -
add model
4a3994c -
add model
cae96a3
-
Update README.md
5f33ee0 -
add tokenizer
fa8c62c -
add model
8a2e195 -
Update README.md
ac4aa2a -
Create README.md
e60a7fc -
add tokenizer
d1309b4 -
add model
efdc39a -
initial commit
d481256