Instructions to use hf-tiny-model-private/tiny-random-RobertaForTokenClassification 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-RobertaForTokenClassification 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-RobertaForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-RobertaForTokenClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
06178c2 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8da2cf7c1a49decf6291b1cb3c1283a1a8658f5bfe209e5cafc4aaadb4e91487
size 348900
|