Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use mingxilei/roberta-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mingxilei/roberta-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mingxilei/roberta-imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mingxilei/roberta-imdb") model = AutoModelForSequenceClassification.from_pretrained("mingxilei/roberta-imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mingxilei/roberta-imdb: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/mingxilei/roberta-imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://mingxilei/roberta-imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mingxilei/roberta-imdb/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- a6b16e66d517e0b1d15799d5f9a92a718c41a3cb7317a57b39837f4eb2492062
- Size of remote file:
- 5.3 kB
- SHA256:
- 8af21c62543879f62f52f68967346622e67692c6bee3cae7a19c369c2fb24b3a
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