How to use eduagarcia-temp/cnj_v1_2__checkpoint_last with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eduagarcia-temp/cnj_v1_2__checkpoint_last")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eduagarcia-temp/cnj_v1_2__checkpoint_last") model = AutoModelForMaskedLM.from_pretrained("eduagarcia-temp/cnj_v1_2__checkpoint_last", device_map="auto")
https://huggingface.co/eduagarcia-temp/cnj_v1_2__checkpoint_last/resolve/main/vocab.json
hf download hf://eduagarcia-temp/cnj_v1_2__checkpoint_last/vocab.json
curl -L -o vocab.json https://huggingface.co/eduagarcia-temp/cnj_v1_2__checkpoint_last/resolve/main/vocab.json
