Instructions to use KumaTea/twitter-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KumaTea/twitter-int8 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="KumaTea/twitter-int8", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("KumaTea/twitter-int8", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7527067c8e51a9a8dcac4fd94bb56fee6f7332335efc2b85bc8ae0cecffd6e23
- Size of remote file:
- 6.71 GB
- SHA256:
- e93aa23765d33ca438282e8ac4f5f290d4b24d831dae3c06c08632d03b9ef444
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