Instructions to use MrezaPRZ/sql-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrezaPRZ/sql-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MrezaPRZ/sql-encoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MrezaPRZ/sql-encoder") model = AutoModelForSequenceClassification.from_pretrained("MrezaPRZ/sql-encoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tmp-checkpoint-40/optimizer.pt from MrezaPRZ/sql-encoder: direct link, hf CLI and curl.
- Browser
- Download file 3.54 GB
-
https://huggingface.co/MrezaPRZ/sql-encoder/resolve/c49031cd3b78db2fa45bce3222ff97c066ce6ed8/tmp-checkpoint-40/optimizer.pt
- Command line
-
hf download hf://MrezaPRZ/sql-encoder@c49031cd3b78db2fa45bce3222ff97c066ce6ed8/tmp-checkpoint-40/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/MrezaPRZ/sql-encoder/resolve/c49031cd3b78db2fa45bce3222ff97c066ce6ed8/tmp-checkpoint-40/optimizer.pt
3.54 GB
- Xet hash:
- 077450b733f94a26cca84259d99f9965077774dc0f2b1896716fd07075ace691
- Size of remote file:
- 3.54 GB
- SHA256:
- 642b87bb535bdb6f43cb735eb9e10d6e2cd7b6fbef694799df4013b7b59a6fdf
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