Instructions to use hf-internal-testing/tiny-random-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-longformer")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-longformer") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload model
Verified signature0151792
-
v3
5690941
-
v2 update
9e037d6
-
Add model and configuration.
16e040a -
initial commit
4083099