Instructions to use hf-tiny-model-private/tiny-random-ErnieForNextSentencePrediction 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-ErnieForNextSentencePrediction with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForNextSentencePrediction tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForNextSentencePrediction") model = AutoModelForNextSentencePrediction.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForNextSentencePrediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9ce595b787bc0d34126d81256a98000eb49c6906b95f8a4cf7dd48486d9c6fa
- Size of remote file:
- 385 kB
- SHA256:
- 66c9f5f98244036f225c995da3682418870e06a64d7469fd230f9076ff696b32
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.