Instructions to use SalmonAI123/ViMrcbase-TFIDF-version-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SalmonAI123/ViMrcbase-TFIDF-version-1 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="SalmonAI123/ViMrcbase-TFIDF-version-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("SalmonAI123/ViMrcbase-TFIDF-version-1") model = AutoModelForQuestionAnswering.from_pretrained("SalmonAI123/ViMrcbase-TFIDF-version-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from SalmonAI123/ViMrcbase-TFIDF-version-1: direct link, hf CLI and curl.
- Browser
- Download file 418 Bytes
-
https://huggingface.co/SalmonAI123/ViMrcbase-TFIDF-version-1/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://SalmonAI123/ViMrcbase-TFIDF-version-1/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/SalmonAI123/ViMrcbase-TFIDF-version-1/resolve/main/tokenizer_config.json
418 Bytes
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": { | |
| "__type": "AddedToken", | |
| "content": "<mask>", | |
| "lstrip": true, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "model_max_length": 512, | |
| "pad_token": "<pad>", | |
| "sep_token": "</s>", | |
| "tokenizer_class": "XLMRobertaTokenizer", | |
| "unk_token": "<unk>" | |
| } | |