Instructions to use asalhi85/ArTweetsSentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asalhi85/ArTweetsSentiment with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="asalhi85/ArTweetsSentiment")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("asalhi85/ArTweetsSentiment") model = AutoModelForSequenceClassification.from_pretrained("asalhi85/ArTweetsSentiment") - 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 sha256:659c5b23565be77358b38cc3738b90b49ab1eb4bf0e854c137ffb9251b2fdabb
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size 651402338
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