Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Cippppy/mobileBert_imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cippppy/mobileBert_imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cippppy/mobileBert_imdb")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cippppy/mobileBert_imdb") model = AutoModelForSequenceClassification.from_pretrained("Cippppy/mobileBert_imdb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cippppy/mobileBert_imdb: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Cippppy/mobileBert_imdb/resolve/main/training_args.bin
- Command line
-
hf download hf://Cippppy/mobileBert_imdb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cippppy/mobileBert_imdb/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 9f6483f831ea2ea6c737f38612d86692e6c6b6957502931ef7b0cf25ded3a783
- Size of remote file:
- 4.73 kB
- SHA256:
- 76529453e3c2cebf366c6f307f3877fe5c6df08172aeb5fe2030e14e40d49ef0
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