README.md · prasannadhungana8848/TOS_LLAMA_3.2_3B

metadata

datasets:
  - prasannadhungana8848/TOS_sentence_embedded_all_minilm_l6_v2
language:
  - en
base_model:
  - meta-llama/Llama-3.2-3B-Instruct
pipeline_tag: text-generation
library_name: transformers

TOS_LLAMA

Model details

Model type: [LLAMA_3.2_3B_INSTRUCT]
Training data: [This model is finetuned on "prasannadhungana8848/TOS_sentence_embedded_all_minilm_l6_v2".]
Intended use: [This model is used to classify the clauses into mulitple privacy labels.]

Usage

Here's a quick example of how to use the model:

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("prasannadhungana8848/TOS_LLAMA_3.2_3B_INSTRUCT")
tokenizer = AutoTokenizer.from_pretrained("prasannadhungana8848/TOS_LLAMA_3.2_3B_INSTRUCT")