Instructions to use hf-tiny-model-private/tiny-random-YosoForTokenClassification 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-YosoForTokenClassification 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-YosoForTokenClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-YosoForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-YosoForTokenClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
51000bb | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7d28663c5077fd9b24102bedd83030757b3eff941f99be0b44db130b4979c136
size 348900
|