Instructions to use hf-tiny-model-private/tiny-random-CTRLForSequenceClassification 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-CTRLForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-CTRLForSequenceClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-CTRLForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-CTRLForSequenceClassification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hf-tiny-model-private/tiny-random-CTRLForSequenceClassification: direct link, hf CLI and curl.
- Browser
- Download file 167 Bytes
-
https://huggingface.co/hf-tiny-model-private/tiny-random-CTRLForSequenceClassification/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-CTRLForSequenceClassification/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hf-tiny-model-private/tiny-random-CTRLForSequenceClassification/resolve/main/tokenizer_config.json
167 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "model_max_length": 512, | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "CTRLTokenizer", | |
| "unk_token": "<unk>" | |
| } | |