Text Classification
Transformers
PyTorch
multilingual
bert
multilabel-classification
twitter
violence-prediction
text-embeddings-inference
Instructions to use m2im/smallLabse_finetuned_twitter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m2im/smallLabse_finetuned_twitter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="m2im/smallLabse_finetuned_twitter")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("m2im/smallLabse_finetuned_twitter") model = AutoModelForSequenceClassification.from_pretrained("m2im/smallLabse_finetuned_twitter") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:02e6580c5e9b1334e600f722c70791e0b481f6a0837053659830cbbcae6abfb5
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size 876733552
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