Instructions to use vantaa32/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vantaa32/models-moved with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vantaa32/models-moved")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vantaa32/models-moved") model = AutoModelForSequenceClassification.from_pretrained("vantaa32/models-moved", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
89e22e0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2cda1539e5bee0cdc58c60475ba700406ef38c99fef70b8c359748aa8338e671
size 4920
|