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Based on our record, Hugging Face seems to be a lot more popular than Talkspace. While we know about 252 links to Hugging Face, we've tracked only 17 mentions of Talkspace. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Talkspace.com (PAID + have providers that are readily available). Source: over 1 year ago
I know what you mean. Unsure if you‘re still looking for a therapist or not, but if you’d like another resource, you could check out an online therapy provider. There are a number of them out there, but a more prominent one would be something like talkspace.com. Source: over 1 year ago
I realize that the article may not help with solving the issue(s) causing the desire to self harm, so therapy may be a good idea as well. I don’t know how familiar you are with therapy, but a site like talkspace.com may be a good place to start and see if therapy works for you. Source: over 1 year ago
If you’re interested in starting therapy (if you’re already going, continue) for the anxiety, something like talkspace.com might be a place to start in your search. Source: over 1 year ago
Cerebral.com, betterhelp.com, & talkspace.com can also be helpful. I do want to caution that text therapy has not been shown to be as effective as face to face therapy. Teletherapy, where you are having a real time conversation, has been shown to be as effective as in-person therapy. It can also be cheaper. Example, my rate is $85. Most in-person therapists around me charge $120-$150. Source: over 1 year ago
HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / 30 days ago
The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / about 1 month ago
Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / about 1 month ago
At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 1 month ago
New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 2 months ago
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