Instructions to use CofeAI/Tele-FLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CofeAI/Tele-FLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="CofeAI/Tele-FLM", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CofeAI/Tele-FLM", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21484fd8b1cd0efc72fcaf1ccab565a3070c9fb686732b6cea86a26ff0778a13
- Size of remote file:
- 1.16 MB
- SHA256:
- 1e2bf2c2d38bab8a4d7107e36073be27be40a625b2f4e57f5a0609bdb70deed8
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