Instructions to use hf-internal-testing/tiny-random-RwkvModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RwkvModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RwkvModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RwkvModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-RwkvModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7120af1922f6c0af2d44ef86280203cddd3669944c77ed9f031a3f8981b277f8
- Size of remote file:
- 318 kB
- SHA256:
- 83020b6662865fca924b5d51057413c87653f2399f2fbaddbda68394b50aff79
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