Instructions to use hf-internal-testing/tiny-random-XmodForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-XmodForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-XmodForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-XmodForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-XmodForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-internal-testing/tiny-random-XmodForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 396 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-XmodForTokenClassification/resolve/efe3dad234d5a60f1165887d8b4bb1627e271508/pytorch_model.bin
- Command line
-
hf download hf://hf-internal-testing/tiny-random-XmodForTokenClassification@efe3dad234d5a60f1165887d8b4bb1627e271508/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-internal-testing/tiny-random-XmodForTokenClassification/resolve/efe3dad234d5a60f1165887d8b4bb1627e271508/pytorch_model.bin
396 kB
- Xet hash:
- 5ff6df1146d0c2a1db365ce3822b61a4dc893f357c119651794c5fe4b131f01a
- Size of remote file:
- 396 kB
- SHA256:
- e57c191d70534b0a78ef680647e19ec8c049caa9db6e63889f52cc19e79c6cdc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.