Instructions to use Shruthikaa/BigBird_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shruthikaa/BigBird_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shruthikaa/BigBird_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shruthikaa/BigBird_Classification") model = AutoModelForSequenceClassification.from_pretrained("Shruthikaa/BigBird_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6acde09e5cf6b95f28afb2ba303d0592ff6a742ced2d6317fd814be3425f4e1c
- Size of remote file:
- 512 MB
- SHA256:
- 4d0e4bee64e6fcd3b5c2d14f8d1c63d3485c75e6508151714036f36d6ef9e14f
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