Instructions to use hf-internal-testing/tiny-random-MT5ForSequenceClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-MT5ForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-internal-testing/tiny-random-MT5ForSequenceClassification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-MT5ForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-internal-testing/tiny-random-MT5ForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from hf-internal-testing/tiny-random-MT5ForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 416 Bytes
-
https://huggingface.co/hf-internal-testing/tiny-random-MT5ForSequenceClassification/resolve/refs%2Fpr%2F4/special_tokens_map.json
- Command line
-
hf download hf://hf-internal-testing/tiny-random-MT5ForSequenceClassification@refs/pr/4/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/hf-internal-testing/tiny-random-MT5ForSequenceClassification/resolve/refs%2Fpr%2F4/special_tokens_map.json
416 Bytes
| { | |
| "eos_token": { | |
| "content": "</s>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<pad>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "unk_token": { | |
| "content": "<unk>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |