Instructions to use yeye776/bigbird-ep2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yeye776/bigbird-ep2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="yeye776/bigbird-ep2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("yeye776/bigbird-ep2") model = AutoModelForSequenceClassification.from_pretrained("yeye776/bigbird-ep2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca1998df65c9fdba31d504d02a1b2d249e8ea36ec9aeff3c7859a197d4f0d855
- Size of remote file:
- 457 MB
- SHA256:
- b41bdd595d65659154d3b5c43b03bc71e455bf321bfcbc206d6679f2de477e8f
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