Token Classification
GLiNER
PyTorch
ONNX
English
Hindi
NER
named-entity-recognition
floatbot
conversational-ai
chatbot
customer-support
Instructions to use Rishi2455/gliner-floatbot-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use Rishi2455/gliner-floatbot-ai with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("Rishi2455/gliner-floatbot-ai") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_prefix_space": true, | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "is_local": true, | |
| "legacy": true, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": {}, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>" | |
| } | |