Instructions to use hf-internal-testing/tiny-random-CanineForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CanineForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-CanineForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CanineForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-CanineForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
65a622e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0f4c5cce1c2cdb8f3af90bc88518f3de222cabe8307d75cb1178a3989694c2cc
size 4489841
|