How to use Lexmount/WebJev-35B-A3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Lexmount/WebJev-35B-A3B")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Lexmount/WebJev-35B-A3B") model = AutoModelForCausalLM.from_pretrained("Lexmount/WebJev-35B-A3B", device_map="auto")
https://huggingface.co/Lexmount/WebJev-35B-A3B/resolve/main/decider/__init__.py
hf download hf://Lexmount/WebJev-35B-A3B/decider/__init__.py
curl -L -o __init__.py https://huggingface.co/Lexmount/WebJev-35B-A3B/resolve/main/decider/__init__.py
