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 model.safetensors from hf-tiny-model-private/tiny-random-RobertaForTokenClassification: direct link, hf CLI and curl.
- Browser
- Download file 349 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-RobertaForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-RobertaForTokenClassification@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-RobertaForTokenClassification/resolve/refs%2Fpr%2F1/model.safetensors
349 kB
- Xet hash:
- 5d8564868062ae49463bbb0bbf0dc34d791ee4e62c0d302cbe935f8c275752a0
- Size of remote file:
- 349 kB
- SHA256:
- 8da2cf7c1a49decf6291b1cb3c1283a1a8658f5bfe209e5cafc4aaadb4e91487
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