# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("ccore/350-reversed-count")
model = AutoModelForCausalLM.from_pretrained("ccore/350-reversed-count")Quick Links
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("ccore/350-reversed-count")
model = AutoModelForCausalLM.from_pretrained("ccore/350-reversed-count")
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ccore/350-reversed-count")