Instructions to use liamcripwell/sle-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use liamcripwell/sle-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="liamcripwell/sle-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("liamcripwell/sle-base") model = AutoModelForSequenceClassification.from_pretrained("liamcripwell/sle-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "<COPY>": 50270, | |
| "<DELETE>": 50273, | |
| "<REPHRASE>": 50271, | |
| "<RL_0>": 50265, | |
| "<RL_1>": 50266, | |
| "<RL_2>": 50267, | |
| "<RL_3>": 50268, | |
| "<RL_4>": 50269, | |
| "<SPLIT>": 50272 | |
| } | |