Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use redevaaa/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use redevaaa/test4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="redevaaa/test4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("redevaaa/test4") model = AutoModelForTokenClassification.from_pretrained("redevaaa/test4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from redevaaa/test4: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/redevaaa/test4/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://redevaaa/test4@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/redevaaa/test4/resolve/refs%2Fpr%2F1/tokenizer.json
669 kB
File too large to display, you can check the raw version instead.