Instructions to use MrezaPRZ/bigbird-sql-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/bigbird-sql-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/bigbird-sql-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/bigbird-sql-encoder") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/bigbird-sql-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MrezaPRZ/bigbird-sql-encoder: direct link, hf CLI and curl.
- Browser
- Download file 512 MB
-
https://huggingface.co/MrezaPRZ/bigbird-sql-encoder/resolve/main/model.safetensors
- Command line
-
hf download hf://MrezaPRZ/bigbird-sql-encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MrezaPRZ/bigbird-sql-encoder/resolve/main/model.safetensors
512 MB
- Xet hash:
- 7d51451a021965da8530ea84ed81288e3accefd3de743f5c68c5b693aca3c0cf
- Size of remote file:
- 512 MB
- SHA256:
- e122f69b7729b9406e0260aa91908be9689f0ebe793e776293966c7e8f2a682b
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