How to use alea-institute/kl3m-doc-pico-long-001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="alea-institute/kl3m-doc-pico-long-001")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("alea-institute/kl3m-doc-pico-long-001") model = AutoModel.from_pretrained("alea-institute/kl3m-doc-pico-long-001", device_map="auto")
