Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use iLabUtk/mental_health_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iLabUtk/mental_health_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iLabUtk/mental_health_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iLabUtk/mental_health_model") model = AutoModelForSequenceClassification.from_pretrained("iLabUtk/mental_health_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 11
Browse files- model.safetensors +1 -1
- runs/Apr15_17-39-08_5206f7c378ca/events.out.tfevents.1713202751.5206f7c378ca.487.0 +2 -2
- runs/Apr15_17-39-08_5206f7c378ca/events.out.tfevents.1713203053.5206f7c378ca.487.1 +3 -0
- runs/Apr15_17-44-35_5206f7c378ca/events.out.tfevents.1713203080.5206f7c378ca.487.2 +3 -0
- training_args.bin +1 -1
model.safetensors
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