Summarization
Transformers
TensorBoard
Safetensors
English
mt5
text2text-generation
seq2seq
Generated from Trainer
Instructions to use ParitKansal/mt5-small-Context-Based-Chat-Summary-Plus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ParitKansal/mt5-small-Context-Based-Chat-Summary-Plus 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="ParitKansal/mt5-small-Context-Based-Chat-Summary-Plus")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ParitKansal/mt5-small-Context-Based-Chat-Summary-Plus") model = AutoModelForSeq2SeqLM.from_pretrained("ParitKansal/mt5-small-Context-Based-Chat-Summary-Plus", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8304
Browse files
model.safetensors
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