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="nbeerbower/bruphin-beta")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("nbeerbower/bruphin-beta")
model = AutoModelForCausalLM.from_pretrained("nbeerbower/bruphin-beta")
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SLERP merge of cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser and rwitz/go-bruins-v2

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