Instructions to use harpertoken/name with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harpertoken/name with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="harpertoken/name")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("harpertoken/name") model = AutoModelForTokenClassification.from_pretrained("harpertoken/name", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
Verified signature77b1aae -
Upload README.md with huggingface_hub
Verified signature5e33425 -
Upload README.md with huggingface_hub
Verified signature1cfc026 -
Upload README.md with huggingface_hub
Verified signaturee247374 -
Upload config.json with huggingface_hub
Verified signature8b7cb85 -
Delete files pytorch_model.bin training_args.bin runs/* with huggingface_hub
Verified signature0793e75 -
Upload README.md with huggingface_hub
Verified signature09973ce -
Upload README.md with huggingface_hub
Verified signature91d95d9 -
Upload README.md with huggingface_hub
Verified signature8caaf97
-
Update README.md
Verified signature71dcd83 -
Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (94f4807d50e7dc46065f089e73c8800a4584dc43) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3a1410b -
Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (fe055bdb90dbc66f5e9e4bf9b435e8c5e553085f) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>45d3114 -
Rebrand to harpertokenNER and clean up README
bniladridas35b9137
-
Metadata Enhancements:
Niladri DasVerified signatureAdded pipeline_tag: token-classification: Ensures it’s recognized for NER pipelines. Added language: en: Specifies English, improving search and filtering. Added library_name: transformers: Clarifies the framework. Added base_model: bert-base-uncased: Links the pre-trained backbone. Enhanced model-index: Includes the validation loss as a metric, structured for Hugging Face’s UI display. Added widget: Provides an interactive example (optional—remove if you don’t want it). Added nlp tag: Broadens visibility in NLP-related searches. UI Impact: On Hugging Face, this will display the loss under “Metrics,” show the task as NER, and filter better in searches for English NER models. The widget (if kept) lets users test the model directly on the page with your example sentence.6b3acc4
-
update model card README.md
2cdd2f5 -
Training in progress, epoch 3
722882d -
Training in progress, epoch 2
b0ae90e -
Training in progress, epoch 1
62e741a -
update model card README.md
5bcf39b -
End of training
a798459 -
Training in progress, step 1500
8a36582 -
Training in progress, step 1000
f796e19 -
Training in progress, step 500
0e2106f -
initial commit
Niladri DasVerified signature9d02162