Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Hanhpt23/distilbert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hanhpt23/distilbert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Hanhpt23/distilbert-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Hanhpt23/distilbert-imdb") model = AutoModelForSequenceClassification.from_pretrained("Hanhpt23/distilbert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hanhpt23/distilbert-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.11 kB
-
https://huggingface.co/Hanhpt23/distilbert-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://Hanhpt23/distilbert-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hanhpt23/distilbert-imdb/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 06264286054b002e3f2aea5265212c256f5cbc208a62072e8410514a01524f14
- Size of remote file:
- 5.11 kB
- SHA256:
- 531d99f442572e5c79b1485df10b03ee9f397028201904e9424b9662cd4c8808
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