Instructions to use hf-internal-testing/tiny-random-TapasModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-TapasModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-TapasModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-TapasModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-TapasModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
bc004af | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c280eb9d279e87d5d66217e80c0f4facb5d5a08e8dc52a2ac316bcb0f60ca87a
size 4274824
|