belong-trinity-1.2b-fullft-v1

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device = "cuda" if torch.cuda.is_available() else "cpu" model.to(device) This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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Model Sources [optional]

from transformers import AutoTokenizer, AutoModelForCausalLM

import torch

REPO_ID = "sangyeopp/belong-trinity-1.2b-fullft-v1"

tokenizer = AutoTokenizer.from_pretrained(REPO_ID)

model = AutoModelForCausalLM.from_pretrained( REPO_ID, torch_dtype=torch.float16 if torch.cuda.is_available() else torch.float32, device_map="auto" if torch.cuda.is_available() else None, )

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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