Instructions to use MrezaPRZ/sql-encoder-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/sql-encoder-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/sql-encoder-bert-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/sql-encoder-bert-large") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/sql-encoder-bert-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from MrezaPRZ/sql-encoder-bert-large: direct link, hf CLI and curl.
- Browser
- Download file 1.34 GB
-
https://huggingface.co/MrezaPRZ/sql-encoder-bert-large/resolve/main/model.safetensors
- Command line
-
hf download hf://MrezaPRZ/sql-encoder-bert-large/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/MrezaPRZ/sql-encoder-bert-large/resolve/main/model.safetensors
1.34 GB
- Xet hash:
- 7182ba99b6a23759fe29c94aebfcf4e9b9306f1a0ed924e6f2b9ae9a4edf3df2
- Size of remote file:
- 1.34 GB
- SHA256:
- 37698cd7e8f77396e9303fd561bd506051df21d38ff9db8684a7e3447aeffcdf
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