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")
# 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/assets/overview.png
hf download hf://Lexmount/WebJev-35B-A3B/assets/overview.png
curl -L -o overview.png https://huggingface.co/Lexmount/WebJev-35B-A3B/resolve/main/assets/overview.png
