Instructions to use ydshieh/tiny-random-LiltForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ydshieh/tiny-random-LiltForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ydshieh/tiny-random-LiltForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ydshieh/tiny-random-LiltForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("ydshieh/tiny-random-LiltForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
6a15add | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:378e47911910255580ae58be984db32a1769f3e79afe8684267107b02b77349a
size 295788
|