Instructions to use TypicaAI/magbert-lm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TypicaAI/magbert-lm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="TypicaAI/magbert-lm")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("TypicaAI/magbert-lm") model = AutoModelForMaskedLM.from_pretrained("TypicaAI/magbert-lm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from TypicaAI/magbert-lm: direct link, hf CLI and curl.
- Browser
- Download file 210 Bytes
-
https://huggingface.co/TypicaAI/magbert-lm/resolve/8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/special_tokens_map.json
- Command line
-
hf download hf://TypicaAI/magbert-lm@8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/TypicaAI/magbert-lm/resolve/8346c6bdbb798a69bd877e8aaf7246b5f2a501a3/special_tokens_map.json
210 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>", "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED"]} |