Instructions to use yam1ke/test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test2") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yam1ke/test2: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/yam1ke/test2/resolve/main/training_args.bin
- Command line
-
hf download hf://yam1ke/test2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yam1ke/test2/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- c1313d80835f47ea3369f3553ab61fceb443428db6fbb879b231f81755f426e3
- Size of remote file:
- 3.25 kB
- SHA256:
- a7ee25e20eb197d65be0c95fbc6f98bc032c2d332b124cd671e6a012af1ea4b4
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