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:
# pip install -U transformers accelerate # 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
Download model.safetensors from hf-internal-testing/tiny-random-M2M100ForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 8.24 MB
-
https://huggingface.co/hf-internal-testing/tiny-random-M2M100ForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-M2M100ForConditionalGeneration@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-M2M100ForConditionalGeneration/resolve/refs%2Fpr%2F1/model.safetensors
8.24 MB
- Xet hash:
- 4ab544fbef421540626cf2b2f0b0dc55b9ac4877a6b952cdc7f70a37ada0f88e
- Size of remote file:
- 8.24 MB
- SHA256:
- f5328fe39a09ddb81738bbf7471999f33a080692c4b7ebabba263b2e40c6781b
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