Instructions to use carnival13/dist_ret_hpqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use carnival13/dist_ret_hpqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="carnival13/dist_ret_hpqa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("carnival13/dist_ret_hpqa") model = AutoModelForSequenceClassification.from_pretrained("carnival13/dist_ret_hpqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a82065217d993a7b372ff73adf5236a667a13bb65299be05103f385ef0d80e8
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size 115071232
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