Instructions to use huolongguo10/check_sec_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huolongguo10/check_sec_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huolongguo10/check_sec_tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huolongguo10/check_sec_tiny") model = AutoModelForSequenceClassification.from_pretrained("huolongguo10/check_sec_tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
be81ece -
Update README.md
39be4fe
-
Adding `safetensors` variant of this model (#10)
- Adding `safetensors` variant of this model (c4c7349daa6c63fb019609d28cf7f7d727d30cb2) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>064236a -
Upload BertForSequenceClassification (#8)
- Upload BertForSequenceClassification (12412cb5adf54e25db445e64e803ad89f43163bc)36fc6fc
-
Upload pytorch_model.bin
91c2a39