Instructions to use SkywalkerLu/TransHLA_II with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SkywalkerLu/TransHLA_II with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SkywalkerLu/TransHLA_II", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SkywalkerLu/TransHLA_II", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eaacc96cf6b0c6b0642bd8e14f8bb4ff558cddca936a3c476cd8122c44f3c9c
- Size of remote file:
- 2.8 GB
- SHA256:
- c856cdd5edda82995721331e3c1210e78826c4ee80520659bf74b5cf3f37afe9
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