Instructions to use Mascariddu8/postText-TargetParagraphs_clickbait_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mascariddu8/postText-TargetParagraphs_clickbait_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mascariddu8/postText-TargetParagraphs_clickbait_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mascariddu8/postText-TargetParagraphs_clickbait_model") model = AutoModelForSequenceClassification.from_pretrained("Mascariddu8/postText-TargetParagraphs_clickbait_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.d98e2e8
-
add model
b832e45 -
add model
5f0dcc2 -
add model
82fb74f -
add model
c5e1b3a -
add model
5822962 -
add model
b7630a7 -
add model
2a8e004
-
add model
ba6b288 -
initial commit
6bf07bb