Instructions to use hf-internal-testing/tiny-random-CohereModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-CohereModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-CohereModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-CohereModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-CohereModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 80227ca425980b180eb3b6a6d3557ff8292f1a715a2ec1e01ecbe148ae9302eb
- Size of remote file:
- 194 kB
- SHA256:
- 45eeffc710cecf3777069edee1ae0021a7501061224edc5a04de29d0d71870af
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