|
--- |
|
license: llama2 |
|
language: |
|
- hi |
|
--- |
|
This repository is the first model in the OpenHathi series of models that will be released by Sarvam AI. This is a 7B parameter, based on Llama2, trained on Hindi, English, and Hinglish. More details about the model, its training procedure, and evaluations can be found [here](https://www.sarvam.ai/blog/announcing-openhathi-series). |
|
|
|
Note: this is a base model and not meant to be used as is. We recommend first finetuning it on task(s) you are interested in. |
|
|
|
``` |
|
# Usage |
|
import torch |
|
from transformers import LlamaTokenizer, LlamaForCausalLM |
|
|
|
tokenizer = LlamaTokenizer.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base') |
|
model = LlamaForCausalLM.from_pretrained('sarvamai/OpenHathi-7B-Hi-v0.1-Base', torch_dtype=torch.bfloat16) |
|
|
|
prompt = "मैं एक अच्छा हाथी हूँ" |
|
inputs = tokenizer(prompt, return_tensors="pt") |
|
|
|
# Generate |
|
generate_ids = model.generate(inputs.input_ids, max_length=30) |
|
tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] |
|
``` |
