Instructions to use seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka") model = AutoModelForSequenceClassification.from_pretrained("seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka: direct link, hf CLI and curl.
- Browser
- Download file 642 Bytes
-
https://huggingface.co/seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/seninoseno/rubert-base-cased-sentiment-study-feedbacks-solyanka/resolve/main/tokenizer_config.json
642 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": false, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "name_or_path": "drive/MyDrive/rubert-base-cased-sentiment-study-feedbacks-solyanka", | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": "/home/igor/.cache/torch/transformers/1f428acdde727eed5de979d6856ce350a470be2a64e134a1fdae04af78a27301.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "BertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |