Instructions to use Tonic/adaption_emir_reporting_code_gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tonic/adaption_emir_reporting_code_gen with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/gpt-oss-120b-bf16") model = PeftModel.from_pretrained(base_model, "Tonic/adaption_emir_reporting_code_gen") - Notebooks
- Google Colab
- Kaggle
File size: 381 Bytes
0a302b7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"backend": "tokenizers",
"bos_token": "<|startoftext|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|return|>",
"is_local": false,
"local_files_only": true,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 65536,
"pad_token": "<|endoftext|>",
"padding_side": "right",
"tokenizer_class": "TokenizersBackend"
}
|