Instructions to use kkkzzzkkk/example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kkkzzzkkk/example with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="kkkzzzkkk/example")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("kkkzzzkkk/example") model = AutoModelForQuestionAnswering.from_pretrained("kkkzzzkkk/example", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 332 Bytes
0c22800 | 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, "model_max_length": 512, "name_or_path": "VMware/electra-small-mrqa", "special_tokens_map_file": null, "tokenizer_class": "ElectraTokenizer"} |