Instructions to use IDQO/fac9fdb2-e65d-4633-ad05-366b5bf6834d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDQO/fac9fdb2-e65d-4633-ad05-366b5bf6834d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IDQO/fac9fdb2-e65d-4633-ad05-366b5bf6834d")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IDQO/fac9fdb2-e65d-4633-ad05-366b5bf6834d") model = AutoModelForSequenceClassification.from_pretrained("IDQO/fac9fdb2-e65d-4633-ad05-366b5bf6834d", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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