Summarization
Transformers
Safetensors
English
t5
text2text-generation
NLP
text-generation-inference
Instructions to use Falconsai/arc_of_conversation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/arc_of_conversation 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="Falconsai/arc_of_conversation")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Falconsai/arc_of_conversation") model = AutoModelForSeq2SeqLM.from_pretrained("Falconsai/arc_of_conversation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 903c4cdcfe8117a83c716bc7443d854ee4c8637845547b1cbef2549ddfc1f296
- Size of remote file:
- 242 MB
- SHA256:
- 83549b2a3318f727b055591b00954a47b135f0dba51da3e37ddca9e18fb2aba7
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