Instructions to use Cippppy/mobilebert_trajectory_proof0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cippppy/mobilebert_trajectory_proof0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cippppy/mobilebert_trajectory_proof0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cippppy/mobilebert_trajectory_proof0") model = AutoModelForSequenceClassification.from_pretrained("Cippppy/mobilebert_trajectory_proof0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cippppy/mobilebert_trajectory_proof0: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/Cippppy/mobilebert_trajectory_proof0/resolve/main/training_args.bin
- Command line
-
hf download hf://Cippppy/mobilebert_trajectory_proof0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cippppy/mobilebert_trajectory_proof0/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 775729164274f063b477b7deacd90002d876b42c6fad2c3554644152d2345431
- Size of remote file:
- 4.79 kB
- SHA256:
- 7a58ac90b54beb87393cc63108ad78ad8025cc427738d6266db22da82bb33bb8
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