Instructions to use hf-internal-testing/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-internal-testing/tiny-random-EncoderDecoderModel-bert-bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert: direct link, hf CLI and curl.
- Browser
- Download file 829 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert/resolve/refs%2Fpr%2F1/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert@refs/pr/1/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-EncoderDecoderModel-bert-bert/resolve/refs%2Fpr%2F1/model.safetensors
829 kB
- Xet hash:
- b31645a4b26b1ac79e1c4c2486a61c845b24f7ba001cd652b6ace454b43a03fa
- Size of remote file:
- 829 kB
- SHA256:
- 647c4f7b2e1c5387968d91bd6a66658bc586f3cd778725cd48126f3ba2261b21
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