Instructions to use Cippppy/bert_trajectory_proof0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cippppy/bert_trajectory_proof0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Cippppy/bert_trajectory_proof0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Cippppy/bert_trajectory_proof0") model = AutoModelForSequenceClassification.from_pretrained("Cippppy/bert_trajectory_proof0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cippppy/bert_trajectory_proof0: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/Cippppy/bert_trajectory_proof0/resolve/main/training_args.bin
- Command line
-
hf download hf://Cippppy/bert_trajectory_proof0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cippppy/bert_trajectory_proof0/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- 31f6caa5c8f5756ceaa502195a5226fd8488bae02641c3b39c87cba8669f0187
- Size of remote file:
- 4.73 kB
- SHA256:
- 4bddd3e26c31012fd36a3dd7d6889c8007f8ccd61637a69121928018e2bd7cab
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