Instructions to use Mardiyyah/TAPT_data-V2_Bioformer-16L_LR-0.0001 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mardiyyah/TAPT_data-V2_Bioformer-16L_LR-0.0001 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Mardiyyah/TAPT_data-V2_Bioformer-16L_LR-0.0001")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Mardiyyah/TAPT_data-V2_Bioformer-16L_LR-0.0001") model = AutoModelForMaskedLM.from_pretrained("Mardiyyah/TAPT_data-V2_Bioformer-16L_LR-0.0001") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
197c8f5 | 1 2 3 4 5 6 7 8 9 | {
"epoch": 10.0,
"total_flos": 1536221652235776.0,
"train_loss": 1.5534028151939656,
"train_runtime": 363.1065,
"train_samples": 9733,
"train_samples_per_second": 268.048,
"train_steps_per_second": 16.772
} |