Instructions to use harsith05/bert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsith05/bert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="harsith05/bert-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("harsith05/bert-imdb") model = AutoModelForSequenceClassification.from_pretrained("harsith05/bert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from harsith05/bert-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/harsith05/bert-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://harsith05/bert-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/harsith05/bert-imdb/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- f377307168effc239b7ad208f7121a30704149b15c3921816785ec4ab2f1f64d
- Size of remote file:
- 5.84 kB
- SHA256:
- f5e6e98121ec2cd3dabac7710ec7db8a13d02b25b7e507a0de3bcf325d3db0ed
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