Instructions to use pelican/3cls_equal_len with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pelican/3cls_equal_len with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pelican/3cls_equal_len")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pelican/3cls_equal_len") model = AutoModelForSequenceClassification.from_pretrained("pelican/3cls_equal_len", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
0736236 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2aa8192603253bdb59c9dbead744a592ebeb83353586f3d58f70becf00e935ac
size 498671277
|