Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use hwting/fintuned-distilbert-imdb-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hwting/fintuned-distilbert-imdb-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hwting/fintuned-distilbert-imdb-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hwting/fintuned-distilbert-imdb-classification") model = AutoModelForSequenceClassification.from_pretrained("hwting/fintuned-distilbert-imdb-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0e3e0144b66ab141f07da10435ba6c8cb0093112ee4ab19c52db8eda02db1c3
- Size of remote file:
- 5.27 kB
- SHA256:
- 26c266478a8177c306144e993085e2d8fb8dd9a014fbaa5b76496defca03b2a8
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