Instructions to use hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel 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-RobertaPreLayerNormModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-RobertaPreLayerNormModel") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
14a382a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dc7f24ccd426fde78d72a2bfba4afd4b114b02de187060bb1f5831b8abeab766
size 465712
|