Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use johnchangbviwit/sentimentanalysis-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnchangbviwit/sentimentanalysis-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="johnchangbviwit/sentimentanalysis-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("johnchangbviwit/sentimentanalysis-imdb") model = AutoModelForSequenceClassification.from_pretrained("johnchangbviwit/sentimentanalysis-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 271236b1d80a47ef777e058d35ea428bd2b93ec50779c17f7ab7efaa3fce4de2
- Size of remote file:
- 5.11 kB
- SHA256:
- a075acaecad7414145fa31d1dd4c635152b94b4945b81552927955af0312a8fb
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