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:
- 96abf0445da4187875bf6d557b7c099ad2e48c32f4005f1c0c016e1e1ca3ba54
- Size of remote file:
- 318 kB
- SHA256:
- a5230e18f7a04e8043b7312f450bf291aece061ab3d62e29dbde42c16d9b48ba
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