Instructions to use Pclanglais/transcript-stances with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Pclanglais/transcript-stances with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pclanglais/transcript-stances")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Pclanglais/transcript-stances") model = AutoModelForSequenceClassification.from_pretrained("Pclanglais/transcript-stances", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
31e2eee | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:f42839ec04c3025630c31f069df13d750b5a3c969345d768ca8e0da9119600c7
size 16331661
|