Instructions to use AFZAL0008/SentimentalMerged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AFZAL0008/SentimentalMerged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AFZAL0008/SentimentalMerged")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AFZAL0008/SentimentalMerged") model = AutoModelForSequenceClassification.from_pretrained("AFZAL0008/SentimentalMerged") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8b1c861185ef6d1bef8199dd1bdb503ee012d54ffd7d709ad422ea534c1ffbdc
- Size of remote file:
- 268 MB
- SHA256:
- a64ae32477903b738022d43d72546ab1eb80f447ba0d01a514a917f86925c556
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