Instructions to use Recognai/selectra_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Recognai/selectra_small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("Recognai/selectra_small") model = AutoModelForPreTraining.from_pretrained("Recognai/selectra_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c52d2315b680820322d842601b0d6c2ebdff86bb29abc41b71e271294e7728d
- Size of remote file:
- 90 MB
- SHA256:
- 7994bc39221f7e5ef245dd5447cad71c2808e7a3c2ef23cac8f03878f6956b6c
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