Instructions to use hf-tiny-model-private/tiny-random-FNetForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-FNetForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-FNetForMaskedLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-FNetForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-tiny-model-private/tiny-random-FNetForMaskedLM: direct link, hf CLI and curl.
- Browser
- Download file 528 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForMaskedLM/resolve/dbca3882464d2a449d3d83ddbfde391461d3df3a/tokenizer_config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-FNetForMaskedLM@dbca3882464d2a449d3d83ddbfde391461d3df3a/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-FNetForMaskedLM/resolve/dbca3882464d2a449d3d83ddbfde391461d3df3a/tokenizer_config.json
528 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_lower_case": false, | |
| "keep_accents": true, | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "remove_space": true, | |
| "sep_token": "[SEP]", | |
| "sp_model_kwargs": {}, | |
| "special_tokens_map_file": "./special_tokens_map.json", | |
| "tokenizer_class": "FNetTokenizer", | |
| "unk_token": "<unk>" | |
| } | |