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openhathispace / app.py

Update app.py

abfae5c 6 months ago

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	#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]


	import gradio as gr

	gr.load("models/sarvamai/OpenHathi-7B-Hi-v0.1-Base").launch()