Instructions to use donal/Pro_Berta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use donal/Pro_Berta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="donal/Pro_Berta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("donal/Pro_Berta") model = AutoModelForMaskedLM.from_pretrained("donal/Pro_Berta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from donal/Pro_Berta: direct link, hf CLI and curl.
- Browser
- Download file 78 Bytes
-
https://huggingface.co/donal/Pro_Berta/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://donal/Pro_Berta/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/donal/Pro_Berta/resolve/main/tokenizer_config.json
78 Bytes
| {"max_len": 512, "special_tokens_map_file": null, "full_tokenizer_file": null} |