Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ae-314/imdb_review_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ae-314/imdb_review_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ae-314/imdb_review_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ae-314/imdb_review_classifier") model = AutoModelForSequenceClassification.from_pretrained("ae-314/imdb_review_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ae-314/imdb_review_classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/ae-314/imdb_review_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://ae-314/imdb_review_classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ae-314/imdb_review_classifier/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- 4508a080f27f7f0eff358f1d87330a4c6f4b0b5f85d51aab2b7263a6c5f7febb
- Size of remote file:
- 5.84 kB
- SHA256:
- 856b9d7a8f66544b69d419276f33f91aaab2bba0c321c0283613e689f13c4347
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