Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use ronalhung/bert-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ronalhung/bert-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ronalhung/bert-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ronalhung/bert-imdb") model = AutoModelForSequenceClassification.from_pretrained("ronalhung/bert-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ronalhung/bert-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.2 kB
-
https://huggingface.co/ronalhung/bert-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://ronalhung/bert-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ronalhung/bert-imdb/resolve/main/training_args.bin
5.2 kB
- Xet hash:
- 8bd130fbf7a888ce36abfe41b86cd1f3bd7afdd1ecc77bb51621df9d81cf3e10
- Size of remote file:
- 5.2 kB
- SHA256:
- 8b2e4d921c4aeb699d865de9a6308d943aa8fffb298636b210a046e1bc066ba0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.