Instructions to use dagomem/modelo_tweets_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dagomem/modelo_tweets_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dagomem/modelo_tweets_2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dagomem/modelo_tweets_2") model = AutoModelForSequenceClassification.from_pretrained("dagomem/modelo_tweets_2") - 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 sha256:7956bb8acd0455b7bff455e002bfb33aaa9c9ee33fcf3405b0bb8b7eb21ca3cd
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size 437968984
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