Instructions to use aymanosman/tiny-random-M2M100Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aymanosman/tiny-random-M2M100Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="aymanosman/tiny-random-M2M100Model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("aymanosman/tiny-random-M2M100Model") model = AutoModel.from_pretrained("aymanosman/tiny-random-M2M100Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6b10f24577c928f194e70b3d190d0e346fc002f987293114cf27fa119d8fe9e
- Size of remote file:
- 8.24 MB
- SHA256:
- 1060268de143397a920b10f29b6d2de7d8164e801d88612a3335bdbee569db51
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