Instructions to use hf-tiny-model-private/tiny-random-XmodModel 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-XmodModel 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-XmodModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XmodModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-XmodModel") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
b5a0f68 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:62c24cdc13d4c9952d63718d6c9fa4c287974249e16b7ade6d5a85e7bbb75626
size 17082660
|