Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use avanishd/distilbert-base-uncased-finetuned-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use avanishd/distilbert-base-uncased-finetuned-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="avanishd/distilbert-base-uncased-finetuned-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("avanishd/distilbert-base-uncased-finetuned-imdb") model = AutoModelForSequenceClassification.from_pretrained("avanishd/distilbert-base-uncased-finetuned-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from avanishd/distilbert-base-uncased-finetuned-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/avanishd/distilbert-base-uncased-finetuned-imdb/resolve/8403145bf164c4c52463103ccc011c377e8718e4/training_args.bin
- Command line
-
hf download hf://avanishd/distilbert-base-uncased-finetuned-imdb@8403145bf164c4c52463103ccc011c377e8718e4/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/avanishd/distilbert-base-uncased-finetuned-imdb/resolve/8403145bf164c4c52463103ccc011c377e8718e4/training_args.bin
5.37 kB
- Xet hash:
- b5f96db47e688f462903b7cf11c44c3619206734f7f57a243693e9a08a85d678
- Size of remote file:
- 5.37 kB
- SHA256:
- 90c40fce6f85754bfa381bb98f96d18348672a46a2616ac67c49c8e1a83caff0
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