Text Generation
PEFT
Safetensors
English
insurance
actuarial
life-insurance
health-insurance
accounting
cpa
cfa
legal
bar-exam
finance
wealth-management
estate-planning
mistral
lora
qlora
conversational
Eval Results (legacy)
Instructions to use h3ir/morbi-v022-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use h3ir/morbi-v022-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Small-Instruct-2409") model = PeftModel.from_pretrained(base_model, "h3ir/morbi-v022-lora") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from h3ir/morbi-v022-lora: direct link, hf CLI and curl.
- Browser
- Download file 437 Bytes
-
https://huggingface.co/h3ir/morbi-v022-lora/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://h3ir/morbi-v022-lora/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/h3ir/morbi-v022-lora/resolve/main/special_tokens_map.json
437 Bytes
| { | |
| "bos_token": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": "</s>", | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |