Instructions to use YanJiangJerry/augment-tweet-bert-large-e4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YanJiangJerry/augment-tweet-bert-large-e4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YanJiangJerry/augment-tweet-bert-large-e4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YanJiangJerry/augment-tweet-bert-large-e4") model = AutoModelForSequenceClassification.from_pretrained("YanJiangJerry/augment-tweet-bert-large-e4") - 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 sha256:48004fc65688fd8a24683393853ed9056ecdbb8851f51a35fd04a8c8793c81ff
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size 1421499616
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