24 lines
1.0 KiB
Markdown
24 lines
1.0 KiB
Markdown
---
|
|
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]
|
|
``` |