Instructions to use fgaim/tielectra-geezswitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tielectra-geezswitch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fgaim/tielectra-geezswitch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fgaim/tielectra-geezswitch") model = AutoModelForSequenceClassification.from_pretrained("fgaim/tielectra-geezswitch") - Notebooks
- Google Colab
- Kaggle
File size: 303 Bytes
86f04b9 | 1 | {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "special_tokens_map_file": null, "name_or_path": "fgaim/tielectra-small", "tokenizer_class": "ElectraTokenizer"} |