Instructions to use intanm/clickbait_spoiling_model_trial_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intanm/clickbait_spoiling_model_trial_2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="intanm/clickbait_spoiling_model_trial_2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("intanm/clickbait_spoiling_model_trial_2") model = AutoModelForQuestionAnswering.from_pretrained("intanm/clickbait_spoiling_model_trial_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from intanm/clickbait_spoiling_model_trial_2: direct link, hf CLI and curl.
- Browser
- Download file 265 MB
-
https://huggingface.co/intanm/clickbait_spoiling_model_trial_2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://intanm/clickbait_spoiling_model_trial_2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/intanm/clickbait_spoiling_model_trial_2/resolve/main/pytorch_model.bin
265 MB
- Xet hash:
- a0d892c76994db6fe7e6398080c2268bf7f04f5dc0f92bcfdc07f419c79a7d1f
- Size of remote file:
- 265 MB
- SHA256:
- f83360ef702a372c5dcbe04a32f131fb6ee3f917da1bb7ffa4e18f365e780d5e
路
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