Text Classification
Transformers
Safetensors
English
distilbert
sentiment-analysis
nlp
imdb
binary-classification
text-embeddings-inference
Instructions to use AfroLogicInsect/sentiment-analysis-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AfroLogicInsect/sentiment-analysis-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AfroLogicInsect/sentiment-analysis-model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AfroLogicInsect/sentiment-analysis-model") model = AutoModelForSequenceClassification.from_pretrained("AfroLogicInsect/sentiment-analysis-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ea4df57a2be0ac3b0a68401469b04b0923fcb425b80d4865eb371c8919fa24f
- Size of remote file:
- 268 MB
- SHA256:
- 87326d9410778039018d706d1c93777fc7687aa96eded444aac10581c8eaf6e2
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