Instructions to use BEE-spoke-data/tiny-random-MPNetForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BEE-spoke-data/tiny-random-MPNetForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="BEE-spoke-data/tiny-random-MPNetForMaskedLM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("BEE-spoke-data/tiny-random-MPNetForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("BEE-spoke-data/tiny-random-MPNetForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from BEE-spoke-data/tiny-random-MPNetForMaskedLM: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/BEE-spoke-data/tiny-random-MPNetForMaskedLM/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://BEE-spoke-data/tiny-random-MPNetForMaskedLM/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/BEE-spoke-data/tiny-random-MPNetForMaskedLM/resolve/main/tokenizer_config.json
1.47 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "4": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "5": { | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "eos_token": "</s>", | |
| "extra_special_tokens": {}, | |
| "mask_token": "<mask>", | |
| "model_max_length": 512, | |
| "never_split": null, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "MPNetTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |