Instructions to use hf-tiny-model-private/tiny-random-NezhaForSequenceClassification 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-NezhaForSequenceClassification 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-NezhaForSequenceClassification")# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-NezhaForSequenceClassification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
2ca89b4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7f6a31139654e8ff5da9afcaac53b621aad55871c81abb79e9bd2ba5db061ec1
size 2918412
|