Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use roymgabriel/BioPharma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roymgabriel/BioPharma with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roymgabriel/BioPharma")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roymgabriel/BioPharma") model = AutoModelForSequenceClassification.from_pretrained("roymgabriel/BioPharma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from roymgabriel/BioPharma: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/roymgabriel/BioPharma/resolve/main/training_args.bin
- Command line
-
hf download hf://roymgabriel/BioPharma/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/roymgabriel/BioPharma/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- da12dc0103943f5cf5530e42411edd71552a50c27b2c9a7df83432fbe92cbf7c
- Size of remote file:
- 4.6 kB
- SHA256:
- 53a0d0078f48f3af6487cfad4975c625ab0039a3d2a4624c4b3bd9d700b6e4f2
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