Instructions to use sniperyyc/NetFID-PCAP-IP-Header with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sniperyyc/NetFID-PCAP-IP-Header with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sniperyyc/NetFID-PCAP-IP-Header")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sniperyyc/NetFID-PCAP-IP-Header") model = AutoModelForMaskedLM.from_pretrained("sniperyyc/NetFID-PCAP-IP-Header") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 3.0, | |
| "train_loss": 0.46753893842028726, | |
| "train_runtime": 20527.2727, | |
| "train_samples": 650883, | |
| "train_samples_per_second": 95.125, | |
| "train_steps_per_second": 2.973 | |
| } |