Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use knapierk/dream_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knapierk/dream_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knapierk/dream_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knapierk/dream_classifier") model = AutoModelForSequenceClassification.from_pretrained("knapierk/dream_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.c5b3713
-
Training in progress, epoch 10
4e8ffcc -
Training in progress, epoch 7
d917234 -
Training in progress, epoch 4
ec2960c -
Training in progress, epoch 1
29517fd -
Training in progress, epoch 4
392b764 -
Training in progress, epoch 1
c973fcf -
Training in progress, epoch 10
f9fb9c2 -
Training in progress, epoch 7
61564aa -
Training in progress, epoch 4
837bfc4 -
Training in progress, epoch 1
5d419bf -
Training in progress, epoch 1
2b6cbe0 -
Training in progress, epoch 10
4c3f487 -
Training in progress, epoch 7
b10b1e1 -
Training in progress, epoch 4
f18b7ec -
Training in progress, epoch 1
104ed6c -
Training in progress, epoch 13
2c1094a -
Training in progress, epoch 10
b2985a2 -
Training in progress, epoch 7
dbe1f2e -
Training in progress, epoch 4
695f14c -
Training in progress, epoch 1
00c9f96 -
Training in progress, epoch 7
386e4e3 -
Training in progress, epoch 4
3cb6085 -
Training in progress, epoch 1
0163af7 -
Training in progress, epoch 10
0d13ae7 -
Training in progress, epoch 7
051c154 -
Training in progress, epoch 4
2ca74a7 -
Training in progress, epoch 1
40fd143 -
Training in progress, epoch 1
27268da -
Training in progress, epoch 10
981bb06 -
Training in progress, epoch 7
6a72f15 -
Training in progress, epoch 4
0d233d4 -
Training in progress, epoch 1
18bdc45 -
Training in progress, epoch 10
8ddad7d -
Training in progress, epoch 7
3a20efe -
Training in progress, epoch 4
ba76b96 -
Training in progress, epoch 1
3a5cae9 -
update model card README.md
819f80e -
End of training
7b78639 -
Training in progress, epoch 19
589786e -
Training in progress, epoch 16
e6918b9 -
Training in progress, epoch 13
e938da8 -
Training in progress, epoch 10
00cb811 -
Training in progress, epoch 7
0753e8e -
Training in progress, epoch 4
63b3141 -
Training in progress, epoch 1
7cc250e -
update model card README.md
59c7c28 -
End of training
28b5648 -
Training in progress, epoch 19
4aa6263 -
Training in progress, epoch 16
36d7016