Summarization
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
Generated from Trainer
Instructions to use EasyTerms/etsummerizer_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EasyTerms/etsummerizer_v2 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="EasyTerms/etsummerizer_v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EasyTerms/etsummerizer_v2") model = AutoModelForSeq2SeqLM.from_pretrained("EasyTerms/etsummerizer_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a8ea922ff5080b81f18f65890af5d38cb2809b532d1546a55279a655dede13f3
- Size of remote file:
- 4.09 kB
- SHA256:
- 408ec15810c6fd63f16064cadbeb557b4a989f2043e76ea060cbe07115975ced
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