Instructions to use newsmediabias/DistilBert_Sentiment_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use newsmediabias/DistilBert_Sentiment_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="newsmediabias/DistilBert_Sentiment_Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("newsmediabias/DistilBert_Sentiment_Classification") model = AutoModelForSequenceClassification.from_pretrained("newsmediabias/DistilBert_Sentiment_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e65e47d2f4bba607002fe1631bd577f52607936cfb664e85edacc54607b5c626
- Size of remote file:
- 268 MB
- SHA256:
- 61766d702990f134c40d240b80b0f655e58175db47aebea9ea0bb5388579d953
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