How to use donghongjiang/SkillReason-embedding-0.6b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="donghongjiang/SkillReason-embedding-0.6b")
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("donghongjiang/SkillReason-embedding-0.6b") model = AutoModelForCausalLM.from_pretrained("donghongjiang/SkillReason-embedding-0.6b", device_map="auto")
