Instructions to use hf-tiny-model-private/tiny-random-XLMModel 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-XLMModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-XLMModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-XLMModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-XLMModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-tiny-model-private/tiny-random-XLMModel: direct link, hf CLI and curl.
- Browser
- Download file 585 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-XLMModel/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-XLMModel/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-XLMModel/resolve/main/tokenizer_config.json
585 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<special0>", | |
| "<special1>", | |
| "<special2>", | |
| "<special3>", | |
| "<special4>", | |
| "<special5>", | |
| "<special6>", | |
| "<special7>", | |
| "<special8>", | |
| "<special9>" | |
| ], | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "</s>", | |
| "do_lowercase_and_remove_accent": true, | |
| "id2lang": null, | |
| "lang2id": null, | |
| "mask_token": "<special1>", | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "XLMTokenizer", | |
| "unk_token": "<unk>" | |
| } | |