Instructions to use hf-internal-testing/tiny-random-FunnelBaseModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-FunnelBaseModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-FunnelBaseModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-FunnelBaseModel") - Notebooks
- Google Colab
- Kaggle
File size: 656 Bytes
87fed42 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"bos_token": "<s>",
"clean_text": true,
"cls_token": "<cls>",
"do_basic_tokenize": true,
"do_lower_case": true,
"eos_token": "</s>",
"mask_token": "<mask>",
"model_max_length": 512,
"name_or_path": "temp/dummy/funnel/processors",
"never_split": null,
"pad_token": "<pad>",
"sep_token": "<sep>",
"special_tokens_map_file": "/home/huggingface/.cache/huggingface/hub/models--funnel-transformer--small/snapshots/ff0f4c11e46720ca10aa2dd668c2c58fe00ad214/special_tokens_map.json",
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "FunnelTokenizer",
"unk_token": "<unk>",
"wordpieces_prefix": "##"
}
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