Instructions to use DunnBC22/canine-c-Mental_Health_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/canine-c-Mental_Health_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DunnBC22/canine-c-Mental_Health_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") model = AutoModelForSequenceClassification.from_pretrained("DunnBC22/canine-c-Mental_Health_Classification") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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- f1
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- recall
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- precision
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model-index:
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- name: canine-c-Mental_Health_Classification
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results: []
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pipeline_tag: text-classification
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language:
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---
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# canine-c-Mental_Health_Classification
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language:
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- en
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license: apache-2.0
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tags:
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- generated_from_trainer
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- f1
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- recall
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- precision
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pipeline_tag: text-classification
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base_model: google/canine-c
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model-index:
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- name: canine-c-Mental_Health_Classification
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results: []
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---
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# canine-c-Mental_Health_Classification
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