Text Classification
Transformers
Safetensors
English
bert
coping
emotions
microaggressions
text-embeddings-inference
Instructions to use coping-emotions/bert-coping-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use coping-emotions/bert-coping-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="coping-emotions/bert-coping-full")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("coping-emotions/bert-coping-full") model = AutoModelForSequenceClassification.from_pretrained("coping-emotions/bert-coping-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from coping-emotions/bert-coping-full: direct link, hf CLI and curl.
- Browser
- Download file 31 Bytes
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https://huggingface.co/coping-emotions/bert-coping-full/resolve/e7eeecc32ed90a4a9a74542595c32ca11a94b881/README.md
- Command line
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hf download hf://coping-emotions/bert-coping-full@e7eeecc32ed90a4a9a74542595c32ca11a94b881/README.md
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curl -L -o README.md https://huggingface.co/coping-emotions/bert-coping-full/resolve/e7eeecc32ed90a4a9a74542595c32ca11a94b881/README.md
31 Bytes
metadata
license: apache-2.0