Instructions to use hf-tiny-model-private/tiny-random-BigBirdForTokenClassification 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-BigBirdForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-BigBirdForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-BigBirdForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
4f32123 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d6cd6d49fae67890c6f166e66338bcdc452825576d2a078dcced6c4af5a690c1
size 6554927
|