Summarization
Transformers
Safetensors
English
t5
text2text-generation
email
brief-summary
full-summary
Eval Results (legacy)
text-generation-inference
Instructions to use wordcab/t5-small-email-summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wordcab/t5-small-email-summarizer 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="wordcab/t5-small-email-summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("wordcab/t5-small-email-summarizer") model = AutoModelForMultimodalLM.from_pretrained("wordcab/t5-small-email-summarizer") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.55.4" | |
| } | |