Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use eren23/basic_wnut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eren23/basic_wnut with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="eren23/basic_wnut")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("eren23/basic_wnut") model = AutoModelForTokenClassification.from_pretrained("eren23/basic_wnut", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from eren23/basic_wnut: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/eren23/basic_wnut/resolve/main/training_args.bin
- Command line
-
hf download hf://eren23/basic_wnut/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/eren23/basic_wnut/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- f8960d6d666130c81201d8fcef31fada3eae2de74d098448f363a25d0d13b8d3
- Size of remote file:
- 4.6 kB
- SHA256:
- a3824f8234cda732db0257686d4c10a6f421d5788afd970b8b0979a5ae5a6501
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