Instructions to use yam1ke/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yam1ke/test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yam1ke/test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yam1ke/test") model = AutoModelForTokenClassification.from_pretrained("yam1ke/test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from yam1ke/test: direct link, hf CLI and curl.
- Browser
- Download file 266 MB
-
https://huggingface.co/yam1ke/test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://yam1ke/test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/yam1ke/test/resolve/main/pytorch_model.bin
266 MB
- Xet hash:
- ea6836ce1add93f7e08c7c7fe8c9a5745ee69ba0e1c97d97176154fd5a11be38
- Size of remote file:
- 266 MB
- SHA256:
- 7f898398382966697e3ccc27f5a687616bfea004c7d5e55c9cc29d33e9c6877c
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