Instructions to use hf-tiny-model-private/tiny-random-YosoForSequenceClassification 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-YosoForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-YosoForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-YosoForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-YosoForSequenceClassification") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
a337f5c | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8ff1559c4950ddffa98b8c675816208475479f3794e132283f8f52943014df8b
size 372223
|