Instructions to use yam1ke/test3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test3") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yam1ke/test3: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/yam1ke/test3/resolve/main/training_args.bin
- Command line
-
hf download hf://yam1ke/test3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yam1ke/test3/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- 6402374cead46cb60e84b6a21890ee05df662ae3c886e7b40a8cd51582027ded
- Size of remote file:
- 3.25 kB
- SHA256:
- ccc26d867461b765f45abdea48654c60e0137fb6e636482f96586e21f728c66b
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