PROPOR2024
Collection
Model's Trained for PROPOR • 62 items • Updated
How to use kamel-usp/aes_enem_models-sourceB-mlm-base with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("fill-mask", model="kamel-usp/aes_enem_models-sourceB-mlm-base") # Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("kamel-usp/aes_enem_models-sourceB-mlm-base")
model = AutoModelForMaskedLM.from_pretrained("kamel-usp/aes_enem_models-sourceB-mlm-base")# Load model directly
from transformers import AutoTokenizer, AutoModelForMaskedLM
tokenizer = AutoTokenizer.from_pretrained("kamel-usp/aes_enem_models-sourceB-mlm-base")
model = AutoModelForMaskedLM.from_pretrained("kamel-usp/aes_enem_models-sourceB-mlm-base")No model card
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kamel-usp/aes_enem_models-sourceB-mlm-base")