CodeGeeX Reviews
CodeGeeX Customer Reviews (4)
- Most recent
- Oldest
Verified Buyer
Verified BuyerVerified BuyerVerified BuyerCodeGeeX Customer’s Q&A
CodeGeeX Features and Benefits
Hugging Face Spaces offers a comprehensive ecosystem designed for creating, sharing, and deploying machine learning models. Key features include:
- Pre-trained Models: Access to a vast library of pre-trained models that can be fine-tuned for specific tasks.
- Model Hub: A central repository for exploring and collaborating on models.
- Dataset Repository: Extensive collection of datasets for training and evaluation.
- Community Support: Active community for collaboration and knowledge sharing.
- Framework Support: Compatibility with popular frameworks like TensorFlow, PyTorch, and JAX.
- User Access Tokens: Secure authentication for accessing private repositories and uploading files.
- Scalability: Infrastructure that ensures models are scalable and accessible.
- Documentation and Tutorials: Comprehensive guides for building and deploying models.
Benefits include:
- Ease of Use: User-friendly interface for both novice and experienced practitioners.
- Cost-Effective: Free access to basic hardware resources with options for upgrades.
- Collaboration: Facilitates teamwork and sharing of resources.
- Flexibility: Supports various machine learning frameworks and tools.
- Security: Secure access and management of models and datasets.
For more details, refer to the Hugging Face documentation.
CodeGeeX Pricing
Hugging Face Spaces offers various pricing plans to cater to different needs:
- Forever Free: Access to basic hardware resources, unlimited models, datasets, and Spaces.
- Pro Account: $9/month, includes advanced features, ZeroGPU, Dev Mode for Spaces, higher rate limits for serverless inference, and early access to upcoming features.
- Enterprise Hub: Starting at $20 per user per month, includes SSO and SAML support, data location selection, audit logs, granular access control, and advanced compute options for Spaces.
Spaces Hardware pricing:
- CPU Basic: Free, 2 vCPU, 16 GB memory.
- CPU Upgrade: $0.03/hour, 8 vCPU, 32 GB memory.
- Nvidia T4: $0.40-$0.60/hour, 4-8 vCPU, 15-30 GB memory, 16 GB VRAM.
- Nvidia A10G: $1.00-$5.00/hour, 4-48 vCPU, 15-184 GB memory, 24-96 GB VRAM.
- Nvidia A100: $4.00/hour, 12 vCPU, 142 GB memory, 40 GB VRAM.
- Nvidia H100: $10.00/hour, 24 vCPU, 250 GB memory, 80 GB VRAM.
- TPU v5e: $1.38-$11.00/hour, 22-220 vCPU, 44-380 GB memory, 16-128 GB VRAM.
Inference Endpoints pricing:
- Starting at $0.032/hour for fully managed infrastructure with autoscaling and enterprise security.
For more details, refer to the Hugging Face pricing page.
CodeGeeX FAQs
CodeGeeX Alternatives
Top 10 alternatives to Hugging Face Spaces:
- Google Cloud Translation API: Offers powerful pre-trained models for translation.
- NLTK: A platform for building Python programs to work with human language data.
- Tune AI: Enterprise chat application harnessing generative AI models.
- Meta Llama 3: Excels at language nuances, contextual understanding, and complex tasks.
- Google Cloud Natural Language API: Provides natural language understanding capabilities.
- Amazon Comprehend: Uses machine learning to find insights and relationships in text.
- Abacus.ai: AI platform for building and deploying machine learning models.
- Gensim: Topic modeling and document similarity analysis.
- Civitai: High-quality stable diffusion models and AI-generated art community.
- Gradio.app: Simplifies the process of creating and sharing machine learning demos.
How To Open A CodeGeeX Account?
Create an account on Hugging Face by visiting the Hugging Face website and clicking on the Sign Up button. Fill in the required details such as username, email, and password. After completing the registration, verify the email address by clicking on the verification link sent to the provided email. Once verified, log in to the account using the registered credentials.
To access Hugging Face Hub features, generate a User Access Token from the Settings page. This token is essential for authentication and allows interaction with the Hub, including downloading private repositories, uploading files, and creating pull requests.
For programmatic access, use the huggingface-cli login command in the terminal to save the token on the machine. This command will prompt for the token and save it in the HF_HOME directory.
For more details, refer to the Hugging Face documentation.
Explore Similar Stores
See All Stores
