Instructions to use Taykhoom/structRFM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Taykhoom/structRFM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Taykhoom/structRFM", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Taykhoom/structRFM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from Taykhoom/structRFM: direct link, hf CLI and curl.
- Browser
- Download file 123 Bytes
-
https://huggingface.co/Taykhoom/structRFM/resolve/main/vocab.json
- Command line
-
hf download hf://Taykhoom/structRFM/vocab.json
-
curl -L -o vocab.json https://huggingface.co/Taykhoom/structRFM/resolve/main/vocab.json
123 Bytes
| { | |
| "[UNK]": 0, | |
| "[CLS]": 1, | |
| "[SEP]": 2, | |
| "[PAD]": 3, | |
| "[MASK]": 4, | |
| "A": 5, | |
| "U": 6, | |
| "C": 7, | |
| "G": 8, | |
| "N": 9 | |
| } |