Instructions to use hf-tiny-model-private/tiny-random-RemBertModel 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-RemBertModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-RemBertModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-RemBertModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-RemBertModel") - Notebooks
- Google Colab
- Kaggle
File size: 133 Bytes
9dc60a7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:64c2619f4b7bdfaa22061f522f23964fe13667c85aa1da5df5b191109e4d2a2c
size 16709845
|