Instructions to use Mikimi/twitter_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mikimi/twitter_trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mikimi/twitter_trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mikimi/twitter_trainer") model = AutoModelForSequenceClassification.from_pretrained("Mikimi/twitter_trainer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65c585ecfbf5d0728b58156d30088b60088b256f2fa974c867cbad2e97e230fc
- Size of remote file:
- 5.3 kB
- SHA256:
- fa3d9c8437ddeddcb220ffe23da3254e5244289460141fa5a6cd072411d81a8a
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