Instructions to use hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification 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-BigBirdForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
d491799 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:97d40ad7a40faa3515724736176bf189f8367945e44cdac6d88359ae3f633edb
size 6550712
|