Instructions to use Parsa/LD50-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Parsa/LD50-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Parsa/LD50-prediction")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Parsa/LD50-prediction") model = AutoModelForSequenceClassification.from_pretrained("Parsa/LD50-prediction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (4ea163d5f26fcffcc385fa6027420243ebe69128) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ec7502a
-
Create README.md
a51d107 -
add tokenizer
6730ebc -
add model
593e4da -
initial commit
01e48f3