Instructions to use omarelsayeed/QA_CrossEncoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/QA_CrossEncoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="omarelsayeed/QA_CrossEncoder")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("omarelsayeed/QA_CrossEncoder") model = AutoModelForSequenceClassification.from_pretrained("omarelsayeed/QA_CrossEncoder") - 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 sha256:7c74e1f6b25c686faeb8c91ce354ddd4e108171ba06da64e307323d8f524ba21
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size 46209236
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