Instructions to use akshay9125/Transcript_Summerizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akshay9125/Transcript_Summerizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("akshay9125/Transcript_Summerizer") model = AutoModelForSeq2SeqLM.from_pretrained("akshay9125/Transcript_Summerizer") - Notebooks
- Google Colab
- Kaggle
File size: 255 Bytes
6502ca8 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"_from_model_config": true,
"bos_token_id": 0,
"decoder_start_token_id": 0,
"eos_token_id": 1,
"forced_eos_token_id": 1,
"length_penalty": 0.8,
"max_length": 256,
"num_beams": 8,
"pad_token_id": 0,
"transformers_version": "4.47.1"
}
|