Instructions to use sniperyyc/NetFID-NetFlow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sniperyyc/NetFID-NetFlow with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sniperyyc/NetFID-NetFlow")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sniperyyc/NetFID-NetFlow") model = AutoModelForMaskedLM.from_pretrained("sniperyyc/NetFID-NetFlow") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:26e5f5cc1b37d8ed301179e7df6b273cf9f24203e019e97ba6fdb9895f0cef3a
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size 438085208
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