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="netcat420/tinyMHENN3b")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("netcat420/tinyMHENN3b")
model = AutoModelForCausalLM.from_pretrained("netcat420/tinyMHENN3b")
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Check out the documentation for more information.

the primary base of this model is gpt-neo-x3b

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Safetensors
Model size
3B params
Tensor type
F32
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