Instructions to use eooitom/phobertlong4096 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eooitom/phobertlong4096 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="eooitom/phobertlong4096")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("eooitom/phobertlong4096") model = AutoModel.from_pretrained("eooitom/phobertlong4096", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from eooitom/phobertlong4096: direct link, hf CLI and curl.
- Browser
- Download file 310 Bytes
-
https://huggingface.co/eooitom/phobertlong4096/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://eooitom/phobertlong4096/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/eooitom/phobertlong4096/resolve/main/tokenizer_config.json
310 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 4096, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "vinai/phobert-base", "tokenizer_class": "PhobertTokenizer"} |