Instructions to use toolathlonEval/MyAwesomeModel-TestRepo-352 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use toolathlonEval/MyAwesomeModel-TestRepo-352 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="toolathlonEval/MyAwesomeModel-TestRepo-352")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("toolathlonEval/MyAwesomeModel-TestRepo-352") model = AutoModel.from_pretrained("toolathlonEval/MyAwesomeModel-TestRepo-352", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc0a82ba00e8991ca08008f025457cd785f91e0ff3c35819f7175ba66cd6638a
- Size of remote file:
- 43 Bytes
- SHA256:
- 26f91d42bcbf3c4445899d1100328276fbde4b5283615f3f7dcf99b9a88235cd
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