Instructions to use addykan/model_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use addykan/model_data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="addykan/model_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("addykan/model_data") model = AutoModelForSequenceClassification.from_pretrained("addykan/model_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 978 Bytes
5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 f5d4413 5fe7e93 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | {
"add_prefix_space": false,
"added_tokens_decoder": {
"0": {
"content": "\u0000",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"57344": {
"content": "",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"57345": {
"content": "",
"lstrip": false,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
},
"57347": {
"content": "",
"lstrip": true,
"normalized": true,
"rstrip": false,
"single_word": false,
"special": true
}
},
"bos_token": "",
"clean_up_tokenization_spaces": true,
"cls_token": "",
"eos_token": "",
"mask_token": "",
"model_max_length": 2048,
"pad_token": "\u0000",
"sep_token": "",
"tokenizer_class": "CanineTokenizer"
}
|