Instructions to use hf-internal-testing/tiny-random-MegatronBertForTokenClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MegatronBertForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MegatronBertForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MegatronBertForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
8b5334b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e56d8704d9b8a4850af403590a63df13dfd46e6a230fd0f166bbba14dab8125e
size 890489
|