# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("crumb/768d-init", trust_remote_code=True, dtype="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
31,870,464 non-embedding params, 38,598,913 embedding params, 70,469,377 total.
"n_embd": 768
"n_head": 6
"n_inner": 1920
"n_layer": 6
"n_positions": 4096
- Downloads last month
- 12
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="crumb/768d-init", trust_remote_code=True)