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