How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Honyant/GPT1002M")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Honyant/GPT1002M")
model = AutoModelForCausalLM.from_pretrained("Honyant/GPT1002M", device_map="auto")
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GPT1002M

Custom GPT Model with 1.002 Billion parameters, trained from scratch.

Try sampling from the model with the inference API.

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Safetensors
Model size
1B params
Tensor type
BF16
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