Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use muhtasham/finetuned-self_mlm_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muhtasham/finetuned-self_mlm_tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muhtasham/finetuned-self_mlm_tiny")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muhtasham/finetuned-self_mlm_tiny") model = AutoModelForSequenceClassification.from_pretrained("muhtasham/finetuned-self_mlm_tiny", device_map="auto") - 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 sha256:6b38d7ffd346fd764299f5bd58d66a81c3322be1d58ccebd32ba0b021cb9efda
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size 17553496
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