Instructions to use hf-tiny-model-private/tiny-random-RobertaForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-RobertaForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-RobertaForTokenClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-RobertaForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 367 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RobertaForTokenClassification/resolve/ec0a94f3eb2d19d1ca6d0c08d19465d5c2af4de4/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RobertaForTokenClassification@ec0a94f3eb2d19d1ca6d0c08d19465d5c2af4de4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-RobertaForTokenClassification/resolve/ec0a94f3eb2d19d1ca6d0c08d19465d5c2af4de4/pytorch_model.bin
367 kB
- Xet hash:
- 8e205005a26e053ca3bed12e15cf0555be48e1ed78edc51355821f4afcf47b86
- Size of remote file:
- 367 kB
- SHA256:
- e127c7518cf51a591da6bb70aadb3feb2ba966d178bddff8723d9f184108855f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.