Instructions to use sraj/Merge_Drop_SYN_FastText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sraj/Merge_Drop_SYN_FastText with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sraj/Merge_Drop_SYN_FastText")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sraj/Merge_Drop_SYN_FastText") model = AutoModelForMaskedLM.from_pretrained("sraj/Merge_Drop_SYN_FastText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15702f277f15048b5da91078c39f0e4a8954b0798a598b2844f3d17cb2debe66
- Size of remote file:
- 299 MB
- SHA256:
- daa8b30da60926433d1343fd4fc1cb085f3147c2c5d8c574d02022019241c04e
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