Fill-Mask
Transformers
PyTorch
Catalan
roberta
catalan
masked-lm
RoBERTa-base-ca-v2
CaText
Catalan Textual Corpus
Instructions to use projecte-aina/roberta-base-ca-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use projecte-aina/roberta-base-ca-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="projecte-aina/roberta-base-ca-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("projecte-aina/roberta-base-ca-v2") model = AutoModelForMaskedLM.from_pretrained("projecte-aina/roberta-base-ca-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from projecte-aina/roberta-base-ca-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.21 MB
-
https://huggingface.co/projecte-aina/roberta-base-ca-v2/resolve/refs%2Fpr%2F1/tokenizer.json
- Command line
-
hf download hf://projecte-aina/roberta-base-ca-v2@refs/pr/1/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/projecte-aina/roberta-base-ca-v2/resolve/refs%2Fpr%2F1/tokenizer.json
2.21 MB
File too large to display, you can check the raw version instead.