Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/fin5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/fin5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/fin5")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/fin5") model = AutoModelForTokenClassification.from_pretrained("redevaaa/fin5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from redevaaa/fin5: direct link, hf CLI and curl.
- Browser
- Download file 739 kB
-
https://huggingface.co/redevaaa/fin5/resolve/main/tokenizer.json
- Command line
-
hf download hf://redevaaa/fin5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/redevaaa/fin5/resolve/main/tokenizer.json
739 kB
File too large to display, you can check the raw version instead.