Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/fin1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/fin1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/fin1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/fin1") model = AutoModelForTokenClassification.from_pretrained("redevaaa/fin1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from redevaaa/fin1: direct link, hf CLI and curl.
- Browser
- Download file 431 MB
-
https://huggingface.co/redevaaa/fin1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://redevaaa/fin1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/redevaaa/fin1/resolve/main/pytorch_model.bin
431 MB
- Xet hash:
- 845dac4a481f1507fb79e0ee0fe7e33281291bd299d4e71140514b7d451de43a
- Size of remote file:
- 431 MB
- SHA256:
- d39d3ba61fda66b0272fdecbfa6d9c469f1adcf1a666808186444f4add34ac93
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