Instructions to use adnankhawaja/R_FB_SMS_LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adnankhawaja/R_FB_SMS_LM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="adnankhawaja/R_FB_SMS_LM")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("adnankhawaja/R_FB_SMS_LM") model = AutoModelForMaskedLM.from_pretrained("adnankhawaja/R_FB_SMS_LM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload vocab.json
cd14d32 -
Upload training_args.bin with git-lfs
0cffbc8 -
Upload tokenizer_config.json
86771fc -
Upload special_tokens_map.json
24c77cc -
Upload pytorch_model.bin with git-lfs
2cec3cf -
Upload config.json
2357ed2 -
Upload merges.txt
1140837 -
initial commit
d7e3083