Instructions to use tunggad/task-text-classification-DistilBERT-IMDb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tunggad/task-text-classification-DistilBERT-IMDb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tunggad/task-text-classification-DistilBERT-IMDb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tunggad/task-text-classification-DistilBERT-IMDb") model = AutoModelForSequenceClassification.from_pretrained("tunggad/task-text-classification-DistilBERT-IMDb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from tunggad/task-text-classification-DistilBERT-IMDb: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/tunggad/task-text-classification-DistilBERT-IMDb/resolve/main/training_args.bin
- Command line
-
hf download hf://tunggad/task-text-classification-DistilBERT-IMDb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/tunggad/task-text-classification-DistilBERT-IMDb/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- f6449a97bf8a9db4a5bbbec5a84184b09425f7e7987e7a99b7d755bfe4d851fc
- Size of remote file:
- 4.73 kB
- SHA256:
- 531e318cbbc239781189c77a875a679f9f43c826a402d507efba06d033f28499
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