Instructions to use gcheronflex/flex-e2e-super-tiny-bert-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gcheronflex/flex-e2e-super-tiny-bert-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="gcheronflex/flex-e2e-super-tiny-bert-model")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("gcheronflex/flex-e2e-super-tiny-bert-model") model = AutoModel.from_pretrained("gcheronflex/flex-e2e-super-tiny-bert-model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5c05a6b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:cdc5ceb5f817fb05227a05c7539426d34dccc42d8c9c4aef094d86bad86cd1b0
size 9176
|