Instructions to use rasmodev/Covid-19_Sentiment_Analysis_BERT_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rasmodev/Covid-19_Sentiment_Analysis_BERT_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rasmodev/Covid-19_Sentiment_Analysis_BERT_Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rasmodev/Covid-19_Sentiment_Analysis_BERT_Model") model = AutoModelForSequenceClassification.from_pretrained("rasmodev/Covid-19_Sentiment_Analysis_BERT_Model") - Notebooks
- Google Colab
- Kaggle
Commit ·
540f393
1
Parent(s): 4ee9081
Adding `safetensors` variant of this model (#3)
Browse files- Adding `safetensors` variant of this model (ba42f1f72dd48bcb31c320784f069fb77033c7c4)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4ee27843b6e336953eb7394d913c62dcf51b95c2060175d54632346914921ce3
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size 433273844
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