Instructions to use harsith05/imdbdata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsith05/imdbdata with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harsith05/imdbdata")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harsith05/imdbdata") model = AutoModelForSequenceClassification.from_pretrained("harsith05/imdbdata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harsith05/imdbdata: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/harsith05/imdbdata/resolve/main/training_args.bin
- Command line
-
hf download hf://harsith05/imdbdata/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harsith05/imdbdata/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- deda67757ed69704510394a4e7bce931ff21ab869f75b37720e29e8b1d56fda4
- Size of remote file:
- 5.43 kB
- SHA256:
- bdf14a3601961412e48ff853d34e6894e3d869a6c8607cb63456045f417661ee
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