Instructions to use jogonba2/POCTS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jogonba2/POCTS with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="jogonba2/POCTS")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jogonba2/POCTS") model = AutoModelForSeq2SeqLM.from_pretrained("jogonba2/POCTS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a44aeb07e5d8614bdc45f5261fde46c3f9db17ec7785cf8873807f3c94966473
- Size of remote file:
- 2.8 kB
- SHA256:
- cdd3d6861a6321189c3d8d75a6d4b2116697c61f2cd4cd1090421fe4d9ec4a0a
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