Instructions to use peft-internal-testing/tiny-random-RobertaModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peft-internal-testing/tiny-random-RobertaModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="peft-internal-testing/tiny-random-RobertaModel")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("peft-internal-testing/tiny-random-RobertaModel") model = AutoModel.from_pretrained("peft-internal-testing/tiny-random-RobertaModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from peft-internal-testing/tiny-random-RobertaModel: direct link, hf CLI and curl.
- Browser
- Download file 348 kB
-
https://huggingface.co/peft-internal-testing/tiny-random-RobertaModel/resolve/main/model.safetensors
- Command line
-
hf download hf://peft-internal-testing/tiny-random-RobertaModel/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/peft-internal-testing/tiny-random-RobertaModel/resolve/main/model.safetensors
348 kB
- Xet hash:
- 27b1877602ce1de3a29bb95b4a9a027284070f24b76937f023fb89b8f50edb8b
- Size of remote file:
- 348 kB
- SHA256:
- c1f54bfa475ca13e590cd22f80073338d87bf1180d6c22edcacc33515073db66
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