Token Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
Instructions to use zorb042/wnut17_testclassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zorb042/wnut17_testclassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="zorb042/wnut17_testclassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("zorb042/wnut17_testclassification") model = AutoModelForTokenClassification.from_pretrained("zorb042/wnut17_testclassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zorb042/wnut17_testclassification: direct link, hf CLI and curl.
- Browser
- Download file 5.18 kB
-
https://huggingface.co/zorb042/wnut17_testclassification/resolve/main/training_args.bin
- Command line
-
hf download hf://zorb042/wnut17_testclassification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zorb042/wnut17_testclassification/resolve/main/training_args.bin
5.18 kB
- Xet hash:
- 9cc41d25a1bf4fcc2990d59a1abef0f82de2eb2238ae80afd5f64d36142f5c02
- Size of remote file:
- 5.18 kB
- SHA256:
- 44a440050ef30078e70f82ac54d3f824da4235521e48b609f0dc3fabafc08e53
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