Instructions to use Jehadoumer/task2a-preprocessed-twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jehadoumer/task2a-preprocessed-twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Jehadoumer/task2a-preprocessed-twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Jehadoumer/task2a-preprocessed-twitter") model = AutoModelForSequenceClassification.from_pretrained("Jehadoumer/task2a-preprocessed-twitter") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:651fb3c2c41f183a9e4b57f77ac8d1f47ed8a282595f0157a8163db7587670a9
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size 540803072
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