Token Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
Eval Results (legacy)
Instructions to use Thichow/my_test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thichow/my_test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Thichow/my_test_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Thichow/my_test_model") model = AutoModelForTokenClassification.from_pretrained("Thichow/my_test_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Thichow/my_test_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Thichow/my_test_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Thichow/my_test_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Thichow/my_test_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 69ada07bab8ddb52b98703c21b3d29b41b29d726745ada4d851620f831a8c4f9
- Size of remote file:
- 5.3 kB
- SHA256:
- 15faf6ab698eb01594160a3cfec9a415f041c9f3bc5a26a3ba1d3f8b91f6258b
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