Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use srmishra/crossencoder-airline-refine with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use srmishra/crossencoder-airline-refine with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="srmishra/crossencoder-airline-refine")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("srmishra/crossencoder-airline-refine") model = AutoModelForSequenceClassification.from_pretrained("srmishra/crossencoder-airline-refine", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
#1
by tomaarsen HF Staff - opened
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: crossencoder-airline-refine
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results: []
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---
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tags:
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- generated_from_trainer
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library_name: sentence-transformers
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pipeline_tag: text-ranking
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model-index:
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- name: crossencoder-airline-refine
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results: []
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