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:
- 1e90da9da9ae954e53d311f6f1c1e4f24cfc066ab66a711abaa81e4f772ca512
- Size of remote file:
- 194 kB
- SHA256:
- ecce6c98263fbd560556a7d74da4b6146d672073b85c8fa2451b8120cc50c605
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