Instructions to use hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert: direct link, hf CLI and curl.
- Browser
- Download file 829 kB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-tiny-model-private/tiny-random-EncoderDecoderModel-bert-bert/resolve/refs%2Fpr%2F1/model.safetensors
829 kB
- Xet hash:
- 0da00c467f6a350893679f14c081d5917d4d0c825094648507bbf93b410798b8
- Size of remote file:
- 829 kB
- SHA256:
- 07f263b1e9b3597e9c4c8033a4d614d0bf09ad93eca5a88470edcdd3dd19aca0
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