Instructions to use avinasht/finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avinasht/finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avinasht/finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avinasht/finetuned") model = AutoModelForSequenceClassification.from_pretrained("avinasht/finetuned") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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license: apache-2.0
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task='sentiment'
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_pretrained_model = f"cardiffnlp/twitter-roberta-base-{task}" finetuned on trainset of -->TweetFinSent: A Dataset of Stock Sentiments on Twitter
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