Instructions to use thtang/ALL_862873 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thtang/ALL_862873 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thtang/ALL_862873")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thtang/ALL_862873") model = AutoModel.from_pretrained("thtang/ALL_862873", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe584e09808b408472e9556eb0d8db4b797690702ab6f43ad18e59f5b5b2cd10
- Size of remote file:
- 17.1 MB
- SHA256:
- b60b6b43406a48bf3638526314f3d232d97058bc93472ff2de930d43686fa441
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