Instructions to use hf-internal-testing/tiny-random-squeezebert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-squeezebert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-squeezebert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-squeezebert") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-squeezebert") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
aabcc63 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:de13912fa0d2d4a9b080567e82c0b3c48595bfee0ea62d7dcd2626c4c3ce23fe
size 322400
|