Instructions to use hf-internal-testing/tiny-random-M2M100ForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-M2M100ForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-M2M100ForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-M2M100ForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc21a65cb8e00e44537c3835f6a0b0cafe8e87c1168ab555b62937b4fb178ebd
- Size of remote file:
- 8.25 MB
- SHA256:
- 306263d73b6a59f5ca5393d652e5999587fc73fb5d4d743d76d3415dbc28575a
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