Text Classification
Transformers
TensorBoard
Safetensors
distilbert
sentiment analysis
imdb
text-embeddings-inference
Instructions to use nppiech/an-imdb-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nppiech/an-imdb-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nppiech/an-imdb-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nppiech/an-imdb-classifier") model = AutoModelForSequenceClassification.from_pretrained("nppiech/an-imdb-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nppiech/an-imdb-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/nppiech/an-imdb-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://nppiech/an-imdb-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nppiech/an-imdb-classifier/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- d66b66b68515d48a0f81e30f66076017ff91fa975149f818d5ce29803e8f2353
- Size of remote file:
- 5.37 kB
- SHA256:
- ec2ed04da0b1a973a7c721103290420fd1b971d66edc30a74a494e8a60d313c7
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