Summarization
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
Generated from Trainer
Instructions to use Sidharthkr/InstructTweetSummarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sidharthkr/InstructTweetSummarizer 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="Sidharthkr/InstructTweetSummarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Sidharthkr/InstructTweetSummarizer") model = AutoModelForSeq2SeqLM.from_pretrained("Sidharthkr/InstructTweetSummarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a1a263bbd3ed22e134cb7c029208bf6ea7151098282462a2bbbc55466bb39928
- Size of remote file:
- 1.63 GB
- SHA256:
- e57787e75ddaf9b601b89c5c92c26121059c6e69e2598ee990c5cf0dcbff8e98
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