Fill-Mask
Transformers
PyTorch
Safetensors
gpt_bert
feature-extraction
gpt-bert
babylm
remote-code
custom_code
Instructions to use jumelet/gptbert-isl-100steps-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jumelet/gptbert-isl-100steps-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="jumelet/gptbert-isl-100steps-small", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jumelet/gptbert-isl-100steps-small", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from jumelet/gptbert-isl-100steps-small: direct link, hf CLI and curl.
- Browser
- Download file 122 Bytes
-
https://huggingface.co/jumelet/gptbert-isl-100steps-small/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://jumelet/gptbert-isl-100steps-small/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/jumelet/gptbert-isl-100steps-small/resolve/main/special_tokens_map.json
122 Bytes
| { | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |