Instructions to use hf-internal-testing/tiny-random-RoFormerModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-RoFormerModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-RoFormerModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") model = AutoModelForMultimodalLM.from_pretrained("hf-internal-testing/tiny-random-RoFormerModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9026086017da23245e519391b7927b5975874d5c74e31ad1c1491acae9f1c3de
- Size of remote file:
- 6.58 MB
- SHA256:
- 34f43ae5c492fe7b0adce9f2da7e085bb009f80e0d1c7cf4f37f6023bc2d243f
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